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EM: Human well being indicator-home value, Great Lakes waterfront, USA (EM-888)
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EM Identity and Description
EM Identification
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EM ID
em.detail.idHelp
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EM-888 |
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EM Short Name
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HWB-home value, Great Lakes, USA |
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EM Full Name
em.detail.fullNameHelp
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Human well being indicator-home value, Great Lakes waterfront, USA |
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EM Source or Collection
em.detail.emSourceOrCollectionHelp
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None |
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EM Source Document ID
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422 ?Comment:Has not been submitted to Journal yet, but has been peer reviewed by EPA inhouse and outside reviewers |
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Document Author
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Ted R. Angradi, Jonathon J. Launspach, and Molly J. Wick |
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Document Year
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None |
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Document Title
em.detail.sourceIdHelp
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Human well-being and natural capital indictors for Great Lakes waterfront revitalization |
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Document Status
em.detail.statusCategoryHelp
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Peer reviewed but unpublished (explain in Comment) |
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Comments on Status
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Journal manuscript submitted or in review |
Software and Access
| Not applicable | |
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Contact Name
em.detail.contactNameHelp
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Ted Angradi |
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Contact Address
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USEPA, Center for Computational Toxicology and Ecology, Great Lakes Toxicology and Ecology Division, Duluth, MN 55804 |
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Contact Email
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tedangradi@gmail.com |
EM Description
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Summary Description
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ABSTRACT: "Revitalization of natural capital amenities at the Great Lakes waterfront can result from sediment remediation, habitat restoration, climate resilience projects, brownfield reuse, economic redevelopment and other efforts. Practical indicators are needed to assess the socioeconomic and cultural benefits of these investments. We compiled U.S. census-tract scale data for five Great Lakes communities: Duluth/Superior, Green Bay, Milwaukee, Chicago, and Cleveland. We downloaded data from the US Census Bureau, Centers for Disease Control and Prevention, Environmental Protection Agency, National Oceanic and Atmospheric Administration, and non-governmental organizations. We compiled a final set of 19 objective human well-being (HWB) metrics and 26 metrics representing attributes of natural and 7 seminatural amenities (natural capital). We rated the reliability of metrics according to their consistency of correlations with metric of the other type (HWB vs. natural capital) at the census-tract scale, how often they were correlated in the expected direction, strength of correlations, and other attributes. Among the highest rated HWB indicators were measures of mean health, mental health, home ownership, home value, life success, and educational attainment. Highest rated natural capital metrics included tree cover and impervious surface metrics, walkability, density of recreational amenities, and shoreline type. Two ociodemographic covariates, household income and population density, had a strong influence on the associations between HWB and natural capital and must be included in any assessment of change in HWB benefits in the waterfront setting. Our findings are a starting point for applying objective HWB and natural capital indicators in a waterfront revitalization context." |
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Specific Policy or Decision Context Cited
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None identified |
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Biophysical Context
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Waterfront districts on south Lake Michigan and south lake Erie |
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EM Scenario Drivers
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N/A |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
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Method + Application |
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New or Pre-existing EM?
em.detail.newOrExistHelp
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New or revised model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
em.detail.relatedEmHelp
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Document ID for related EM
em.detail.relatedEmDocumentIdHelp
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Doc-422 |
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EM ID for related EM
em.detail.relatedEmEmIdHelp
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EM-886 | EM-889 | EM-890 | EM-891 | EM-893 | EM-894 | EM-895 |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
em.detail.tempExtentHelp
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2022 |
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EM Time Dependence
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time-stationary |
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EM Time Reference (Future/Past)
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Not applicable |
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EM Time Continuity
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Not applicable |
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EM Temporal Grain Size Value
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Not applicable |
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EM Temporal Grain Size Unit
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Not applicable |
EM Spatial Extent
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Bounding Type
em.detail.boundingTypeHelp
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Geopolitical |
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Spatial Extent Name
em.detail.extentNameHelp
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Great Lakes waterfront |
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Spatial Extent Area (Magnitude)
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1000-10,000 km^2. |
Spatial Distribution of Computations
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EM Spatial Distribution
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spatially lumped (in all cases) |
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Spatial Grain Type
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Not applicable |
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Spatial Grain Size
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Not applicable |
EM Structure and Computation Approach
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EM Computational Approach
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Numeric |
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EM Determinism
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deterministic |
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Statistical Estimation of EM
em.detail.statisticalEstimationHelp
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Model Checking Procedures Used
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Model Calibration Reported?
em.detail.calibrationHelp
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No |
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Model Goodness of Fit Reported?
em.detail.goodnessFitHelp
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No |
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Goodness of Fit (metric| value | unit)
em.detail.goodnessFitValuesHelp
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None |
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Model Operational Validation Reported?
em.detail.validationHelp
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No |
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Model Uncertainty Analysis Reported?
em.detail.uncertaintyAnalysisHelp
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No |
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Model Sensitivity Analysis Reported?
em.detail.sensAnalysisHelp
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Yes |
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Model Sensitivity Analysis Include Interactions?
em.detail.interactionConsiderHelp
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
em.detail.relationToSpaceTerrestrialHelp
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
em.detail.relationToSpaceMarineHelp
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| None |
Centroid Lat/Long (Decimal Degree)
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Centroid Latitude
em.detail.ddLatHelp
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42.26 |
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Centroid Longitude
em.detail.ddLongHelp
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-87.84 |
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Centroid Datum
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WGS84 |
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Centroid Coordinates Status
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Estimated |
Environments and Scales Modeled
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EM Environmental Sub-Class
em.detail.emEnvironmentalSubclassHelp
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Terrestrial Environment (sub-classes not fully specified) |
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Specific Environment Type
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Lake Michigan waterfront |
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EM Ecological Scale
em.detail.ecoScaleHelp
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Ecological scale corresponds to the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
em.detail.nameOfOrgsOrGroupsHelp
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EM Organismal Scale
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Not applicable |
Taxonomic level and name of organisms or groups identified
taxonomyHelp
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| None Available |
EnviroAtlas URL
em.detail.enviroAtlasURLHelp
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| Enabling Conditions |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
em.detail.cicesHelp
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| None |
(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
fegs2Help
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| None |
EM Variable Names (and Units)
Predictor
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Intermediate
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Intermediate (Computed) Variables (and Units)
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None |
Response
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Observed Response Variables (and Units)
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None |
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Computed Response Variables (and Units)
view details (1 variable)
em.detail.computedResponseHelp
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